LENOVO 21MA0006US
Geekbench AI Score
785
Single Precision Score
5227
Half Precision Score
9986
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 04:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | LENOVO 21MA0006US |
| Motherboard | LENOVO 21MA0006US |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (HP)
|
100% |
3299
613.5 IPS |
|
|
Image Classification (Q)
|
100% |
6222
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13992
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
40673
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (Q)
|
88% |
5447
436.7 IPS |
|
|
Face Detection (SP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
8057
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
19148
227.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1238
9.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
9025
69.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
20371
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3078
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
26025
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
61041
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8972
331.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17984
666.0 IPS |
|
|
Text Classification (SP)
|
100% |
549
732.9 IPS |
|
|
Text Classification (HP)
|
100% |
1682
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
1822
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (HP)
|
100% |
1971
34.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3272
56.4 IPS |
